updates
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@ -185,7 +185,7 @@ class LoadImagesAndLabels(Dataset): # for training/testing
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self.batch = bi # batch index of image
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self.batch = bi # batch index of image
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# Preload images
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# Preload images
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if cache & n < 1001: # preload all images into memory if possible
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if cache and (n < 1001): # preload all images into memory if possible
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self.imgs = [cv2.imread(self.img_files[i]) for i in tqdm(range(n), desc='Reading images')]
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self.imgs = [cv2.imread(self.img_files[i]) for i in tqdm(range(n), desc='Reading images')]
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# Preload labels (required for weighted CE training)
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# Preload labels (required for weighted CE training)
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